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Machine learning is everywhere, and it’s becoming a standard utility that, when it infiltrates a system, it can create insights at scale that change the way companies are doing business, notes Jerry Overton, a data scientist and senior principal for analytics at DXC Technology.

Machine learning, the branch of AI that empowers intelligent agents, is based on analytics. Analytics are merely the ability to record and play back information. Advanced analytics pulls out patterns in that data. Machine learning builds on that further by using algorithms to get better at discovering patterns over time, Overton explains.

Machine learning is already being used in the transportation sector to monitor and predict fleet infrastructure failure.

Doctors are using machine learning to augment diagnoses, and manufacturers are using this technology to simulate designs and create digital twins.

Overton underscores the need for industrial machine learning, which takes this technology and scales it to the whole operation.

“There’s a big difference between running a demo – running something on your desktop – and being able to create something that generates insight for the entire enterprise,” he adds.